Core features - 6.2

This section describes basic features of Talend data profiling solution.

Metadata repository

Using Talend data quality, you can connect to data sources to analyze
their structure (catalogs, schemas and tables), and stores the description of their
metadata in its metadata repository. You can then use this metadata to set up
metrics and indicators.

One specific feature of interest as well is
a report database where you can keep a history of created reports and share results
among team members. For more information, see Managing the report database.

Patterns and indicators

Patterns are sets of strings against which you can define the content, structure
and quality of high complex data. TheProfiling perspective
of the studio lists two types of patterns: regular expressions, which are
predefined regular patterns, and SQL patterns which are the patterns you add using
LIKE clauses.

Indicators are the results achieved through the implementation
of different patterns. They can represent the results of data matching and different
other data-related operations. TheProfiling perspective
of the studio lists two types of indicators: system indicators, a list of
predefined indicators, and user-defined indicators, a list of those defined by the
user.